In this paper we consider the problem of programming for heterogeneous computer systems consist of CPUs and various accelerating devices such as GPUs. We introduce a few of the most popular models for ...

Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow's manycore processors, whether ...

Parallel Works launched Activate AI, a new control plane for deploying and managing AI and ML workloads that require ...

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was ...

Packed into data centers by the thousands and mostly made by Nvidia, GPUs provide the computing power for creating and delivering cutting-edge A.I. models. Obtaining these pieces of silicon is ...

A technical paper titled “Data-driven power modeling and monitoring via hardware performance counter tracking” was published ...

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Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

After testing a few different models, I ended up buying the Western Digital WD_Black SN850X for my own system. It’s very fast, delivering read speeds of up to 7,300MB/s, and I was able to pay ...

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is ...

This project demonstrates parallelization techniques for Graph Neural Networks (GNNs) using: CUDA for GPU acceleration MPI (mpi4py) for distributed computing Python Multiprocessing for parallel ...